Dataset from an experiment on transitivity

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-05-31 DOI:10.1016/j.dib.2025.111711

Jorge Guadalupe-Lanas , Verónica Artola-Jarrín , Jorge Cruz-Cárdenas

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引用次数: 0

Abstract

Experimental economics, which applies laboratory methods to study the interactions of human beings in social contexts, makes it possible to evaluate the transitivity of consumer preferences. This data set presents the results of an experiment on preferences in three different situations: 1) individuals faced with goods choices without restrictions; 2) individuals facing budget restrictions and price changes; and 3) individuals faced with decreased disposable income. The experiment was conducted on subjects with different characteristics i.e., different genders, women and men, different work situations, employed and unemployed, different age ranges, and different economic positions, divided into low, medium and high. In addition, the experiment had two phases, the first one prior to the experiment as such, called pilot, which objective was to calibrate the consistency of the instrument (survey), not to measure transitivity itself. The second one, was conducted on 70 subjects some of which came from the central bank of Ecuador, and others came from the Catholic University.

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及物性实验数据集

实验经济学运用实验室方法研究人类在社会环境中的相互作用，使评估消费者偏好的传递性成为可能。这个数据集展示了在三种不同情况下的偏好实验结果：1)个人面对没有限制的商品选择；2)面临预算限制和价格变化的个人；3)个人可支配收入减少。实验对象具有不同的特征，即不同的性别，女性和男性，不同的工作情况，有工作和失业，不同的年龄范围，不同的经济地位，分为低，中，高。此外，实验有两个阶段，第一个阶段在实验之前，称为先导，其目的是校准仪器（调查）的一致性，而不是测量传递性本身。第二次调查涉及70个科目，其中一些来自厄瓜多尔中央银行，另一些来自天主教大学。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.